Senior AI / Generative AI Engineer

Our client is looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents , integrating advanced AI capabilities into enterprise workflows within a secure and governed environment.

Start Date September 7, 2026

End Date: September 3, 2027

Duration: 1 year

Location: GTA/Hybrid (approx. 2 days onsite)

Required Experience

• 7+ years of experience in AI/GEN AI/ML engineering, with strong expertise in Azure cloud environments
• Proven track record delivering end-to-end AI solutions in production
• Experience with Snowflake or modern enterprise data platforms
• Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field

Core AI & Engineering Capabilities Generative AI & LLMs

• Hands-on experience building Generative AI applications (GPT, Claude, Gemini, etc.)
• Experience fine-tuning and optimizing LLMs for enterprise use cases

• Designing and implementing RAG (Retrieval-Augmented Generation) architectures:

• Retrieval & embeddings
• Vector search
• Grounding & context orchestration

AI Agents & Orchestration

• Designing and building AI agents using frameworks such as:

• LangChain
• Semantic Kernel
• Azure OpenAI Service

• Azure Open AI

• Experience with:

• Multi-agent systems
• Tool/function calling
• Workflow automation and orchestration

Azure AI & Platform Engineering

• Strong experience across the Azure AI ecosystem:

• Azure OpenAI
• Azure AI Search
• Azure AI Foundry
• Azure Machine Learning
• Azure Fabric

• Snowflake

• Integration with enterprise services:

• Azure Cognitive Services
• Azure Data Lake

• Azure Event Hub

• Experience deploying scalable solutions on:

• Azure Kubernetes Service (AKS)
• Distributed, cloud-native architectures

Software Engineering

• Strong programming skills in Python
• Experience building APIs (FastAPI or similar)
• Experience with microservices architecture and enterprise system integration
• Familiarity with containerization (Docker/Kubernetes)

MLOps, LLMOps & Governance

• Experience implementing MLOps / LLMOps practices:

• Azure DevOps, MLflow, CI/CD pipelines
• Model evaluation frameworks

• Monitoring, observability, performance tracking

• Strong understanding of Responsible AI practices:

• Security & data protection
• Risk management & guardrails
• Compliance with enterprise governance standards

What You’ll Work On

• Build enterprise-grade AI agents leveraging internal data and workflows
• Develop AI-powered search, discovery, and insight-generation platforms
• Design scalable GenAI decision-support systems for business and executive users
• Implement secure, governed AI solutions in a regulated enterprise environment
• Operationalize AI solutions that deliver real, measurable business value

Who You Are

• A very hands-on expert who can take solutions from concept > production > scale
• Comfortable working in fast-evolving and ambiguous AI environments
• Passionate about building secure, reliable, and responsible AI systems
• Strong collaborator who thrives in cross-functional teams
• Motivated to solve complex business problems using advanced AI

Preferred Skills

• Experience with Azure Foundry-based RAG systems
• Familiarity with NLP / text analytics applications
• Experience contributing to open-source AI projects or research
• Experience with GitHub-based development workflows
• Exposure to enterprise-scale AI deployments and governance framework